To be Held in Conjunction with the
Fifth SIAM International Conference on Data Mining
(SDM 2005)
Applications in various domains often lead to very high-dimensional data; the dimension of the data being in the hundreds or thousands, for example in text/web mining and bioinformatics. In addition to the high dimensionality, these data sets are also often sparse. Clustering such high-dimensional data sets is a contemporary challenge. Successful algorithms must avoid the curse of dimensionality but at the same time should be computationally efficient.
A one-day workshop on Clustering High Dimensional Data and its Applications will be held in conjunction with SDM 2005 in California (April '05) to bring together researchers to present their current approaches and results in clustering high-dimensional data that arise in various applications. Particular applications of interest are bioinformatics, text mining, market-basket and web log analysis. This is a continuation of a series of workshops on this topic held at previous SDM conferences -- see URL for the workshop at SDM 2004.
Clustering Algorithms and Models
- Probabilistic Models
- Information-Theoretic Formulations
- Vector-space Models
- Graph-based Models
- Software and Toolkits
Applications
- Bioinformatics
- Text Mining
- Web log analysis
- Factor Analysis
- Feature construction
Attendees are required to register for SDM 2005, but no separate registration is needed for this workshop.
Original papers on clustering high-dimensional data are solicited. For consideration, send an electronic submission (postscript or PDF versions printable on 8.5 x 11 paper only) to Amy Levin: LevinA@engr.utexas.edu
An email including the title, authors and abstract of the paper should be sent separately in plain ASCII format (no HTML-tags please).
To guarantee consideration, manuscripts must be received by January 10, 2005, and must be no more than 10 pages excluding figures, tables, and references. Submission of work in progress is also encouraged.
All accepted papers whose camera-ready copies are received by the February 25, 2005 deadline (see below) will be distributed as photocopied proceedings available at the conference for purchase by attendees. Electronic copies will also be put on a SIAM web site.
Keynote Speaker: Prof. Kenneth Rose (University of California, Santa Barbara) --- Abstract
Devasis Bassu, Telcordia Research
Cliff Behrens, Telcordia Technologies
Mikhail Belkin, University of Chicago
Paul Bradley, Bradley Data Consulting, LLC
Ian Davidson, SUNY, Albany
Chris Ding, NERSC, Lawrence Berkeley Lab
Jennifer Dy, Northeastern University
Efstratios Gallopoulos, University of Patras
Efim Gendler, iBoogie.tv
Thomas Hofmann, Brown University
Latifur Khan, University of Texas, Dallas
Andrew Knyazev, University of Colorado
Jon Kettenring, Telcordia Research
Mei Kobayashi, IBM Research
Shailesh Kumar, Fair Isaac
Dharmendra Modha, IBM Almaden Research Center
Nick Street, University of Iowa
Zeev (Vladimir) Volkovich, Ort Braude College, Israel
Shi Zhong, Florida Atlantic University
Leonid Zhukov, Yahoo! Research Labs
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Organizers Inderjit Dhillon Department of Computer Science University of Texas Austin, TX 78712-1188 Phone: (512) 471-9725 Fax: (512) 471-8885 |
Joydeep Ghosh Department of Electrical & Computer Engineering University of Texas Austin, TX 78712-1188 Phone: (512) 471-8980 Fax: (410) 471-2893 |
Jacob Kogan Department of Mathematics and Statistics Univ. of Maryland, Baltimore County Baltimore, MD 21250 Phone: (410) 455-3297 Fax: (410) 455-1066 |
Last modified on Oct 19, 2004.